Mengjun Wu

447 citations
29 papers · 267 · h-index 8

Impact in

Papers in

Mengjun Wu

25 papers receiving 263 citations

Peers

Mengjun Wu
Comparison fields: 5 of 91
  • Cognitive Neuroscience 84
  • Psychiatry and Mental health 63
  • Radiology, Nuclear Medicine and Imaging 61
  • Endocrinology, Diabetes and Metabolism 43
  • Nuclear Energy and Engineering 1
Replace Xueyong Shen with:
Xueyong Shen China
Yohei Tsuyusaki Japan
Thomas Lillicrap Australia
Adriano Bernini Switzerland
Elif Baysal Türkiye
Zhuoming Chen China
Simonetta Picone Italy
Alka Bishnoi United States
S. B. Wilson United Kingdom
Giovanni Lanzo Italy
Mengjun Wu relative to Xueyong Shen China Xueyong Shen's profile →
Citations per field
00.5×5.4×
Xueyong Shen · 1×
Citations per year

Countries citing papers authored by Mengjun Wu

Since Specialization
Citations

This map shows the geographic impact of Mengjun Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mengjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengjun Wu more than expected).

Fields of papers citing papers by Mengjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengjun Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mengjun Wu. The network helps show where Mengjun Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mengjun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengjun Wu Line = papers co-authored together Mengjun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 202153
3 201919
4 202210
5 20228
6 20148
7 20248
8 20228
9 20237
10 20187
11 20226
12 20205
13 20185
14
Research on Disease Treatment Technology of Highway Tunnel
20074
15 20224
16 20124
17 20193
18 20243
19 20222
20 20172

About Mengjun Wu

Mengjun Wu is a scholar working on Surgery, Animal Science and Zoology, Public Health, Environmental and Occupational Health, Biomedical Engineering and Infectious Diseases, having authored 29 papers that have together received 267 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (3 papers), Anesthesia and Neurotoxicity Research (3 papers), COVID-19 Impact on Reproduction (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Arrest and Resuscitation (3 papers), Animal Nutrition and Physiology (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Fire effects on concrete materials (2 papers). The work is most often cited by research in Cognitive Neuroscience (84 citations), Psychiatry and Mental health (63 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Endocrinology, Diabetes and Metabolism (43 citations) and Nuclear Energy and Engineering (1 citation). Mengjun Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Peng, Xiong‐Fei Pan, Xue Yang, Fei Zhao, Tao Li, Qiyong Gong, Wei Deng, Shuhui Li, Feng Bi and Yi Xiao. Their work appears in journals such as Case Studies in Thermal Engineering, Clinical Infectious Diseases, Schizophrenia Bulletin, BMJ Open and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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